Homo Narrativus

Zipf's law is a mathematical probability that states that in a given set, the most frequently used data value (or word) is used twice as often as the next most common value. This is true in various statistical sets like income distribution in companies, internet traffic, phone calls received, and language.

One of the implications of this law is there are unconscious network forces and mathematical patterns governing our lives, with human beings just being nodes exchanging information.

When six to eight people are conversing at a dinner party, it is easy to focus on one conversation, but if the number is higher (say 15), then two-way conversations are more likely.

When groups get larger, the change is exponential, not linear, affecting one's social experience.

Process Based Therapy bases itself on Network Science, which emphasis the importance of networks, nodes and possible barriers to change in order to get a better understanding of the mental illnesses.

Process Based Therapy implies the belief that variation and flexibility are the elements that influence the most your recovery.

This Meta Model refers to the idea according to which dynamic and complex networks change or shift dramatically rather than gradually.

When this occurs, the so-called Process Based Therapy aims to turn the network from maladaptive to adaptive while using strategies such as exposure or mindfulness.